Opinion Dynamics with Hopfield Neural Networks

Details Opinion Dynamics with Hopfield Neural Networks Opinion Dynamics with Hopfield Neural Networks

2007-12-28

arxiv.org/abs/0712.4364v2

Physics

Physics and Society

Enlarged from 7 to 9 pages with new authors, new simulations, and a theory

Scientific paper

In Hopfield neural networks with up to 10^8 nodes we store two patterns through Hebb couplings. Then we start with a third random pattern which is supposed to evolve into one of the two stored patterns, simulating the cognitive process of associative memory leading to one of two possible opinions. With probability p each neuron independently, instead of following the Hopfield rule, takes over the corresponding value of another network, thus simulating how different people can convince each other. A consensus is achieved for high p.

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